Search (28 results, page 1 of 2)

  • × theme_ss:"Suchmaschinen"
  • × type_ss:"el"
  1. Gillitzer, B.: Yewno (2017) 0.01 
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    Date
    22. 2.2017 10:16:49
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005) 0.01 
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    Date
    16. 1.2016 10:22:28
  3. Mandalka, M.: Open semantic search zum unabhängigen und datenschutzfreundlichen Erschliessen von Dokumenten (2015) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Palm, G.: ¬Der Zeitgeist in der Suchmaschine : Unser alltäglicher "Google-Hupf" und seine Spuren (2002) 0.01 
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    Abstract
    Zeitmaschinen gibt es schon länger, spätestens seit H. G. Wells, aber eine Zeitgeistmaschine existiert erst seit 1998: Google. Trend-Gurus und ihre Trend-Büros gehören demnächst der Vergangenheit an. Eine weitere Ironie des Netzes, das heute bereits verabschiedet, was doch für morgen bestimmt war. Google macht die ohnehin so anfechtbare Zunft der Seher tendenziell arbeitslos, weil die Suchmaschine der Suchmaschinen sich nicht auf Nostradamus oder Horoskop, Kassandra oder Kaffeesatz, sondern auf Suchanfragen verlässt. Was die Welt umtreibt, was mega-in oder mega-out ist, bildet sich in Googles Zeitgeistfeature ab. Das komplexe Wunder von Google ist der Vokal "o", der bekanntlich erstaunlich dehnbar ist, wenn die Welt auf der Suche nach sich selbst ist. Google führt sich auf ein Wortspiel mit dem mathematischen Begriff "googol" zurück, eine 1 mit 100 Nullen. Rechnet man Googles Partnerschaften mit Yahoo und anderen dazu, wird pro Tag ca. 150 Millionen mal gegoogelt - Tendenz selbstverständlich steigend. Nach Google-Mitgründer Larry Page besteht der Anspruch der perfekten Suchmaschine darin, dass sie genau versteht, was der Suchende will und ihn exakt bedient. Doch das ist nur die längst nicht erreichte Sonnenseite der blitzschnell generierten Suchantworten der digitalen Wissensgesellschaft. Die vielen Fragen der Wissbegierigen sind selbst Antworten - Antworten auf die Frage nach den Interessen, Wünschen und Begierden der Netzgesellschaft.
  5. Sobek, M.: ¬Der PageRank-Algorithmus (2003) 0.01 
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  6. Kuberek, M.; Lohrum, S.: Schnittstelle Lokalsystem - Suchmaschine : Spezifikation der Anforderungen (1997) 0.01 
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  7. Dunning, A.: Do we still need search engines? (1999) 0.01 
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    Source
    Ariadne. 1999, no.22
  8. El-Ramly, N.; Peterson. R.E.; Volonino, L.: Top ten Web sites using search engines : the case of the desalination industry (1996) 0.01 
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    Abstract
    The desalination industry involves the desalting of sea or brackish water and achieves the purpose of increasing the worls's effective water supply. There are approximately 4.000 desalination Web sites. The six major Internet search engines were used to determine, according to each of the six, the top twenty sites for desalination. Each site was visited and the 120 gross returns were pared down to the final ten - the 'Top Ten'. The Top Ten were then analyzed to determine what it was that made the sites useful and informative. The major attributes were: a) currency (up-to-date); b) search site capability; c) access to articles on desalination; d) newsletters; e) databases; f) product information; g) online conferencing; h) valuable links to other sites; l) communication links; j) site maps; and k) case studies. Reasons for having a Web site and the current status and prospects for Internet commerce are discussed
  9. Fiorelli, G.: Hummingbird unleashed (2013) 0.01 
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  10. Birmingham, J.: Internet search engines (1996) 0.01 
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    Date
    10.11.1996 16:36:22
  11. Day, M.; Koch, T.: ¬The role of classification schemes in Internet resource description and discovery : DESIRE - Development of a European Service for Information on Research and Education. Specification for resource description methods, part 3 (1997) 0.01 
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  12. Lischka, K.; Kremp, M.: Was der Google-Gegner weiß - und was nicht (2009) 0.01 
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  13. Griesbaum, J.; Rittberger, M.; Bekavac, B.: Deutsche Suchmaschinen im Vergleich : AltaVista.de, Fireball.de, Google.de und Lycos.de (2002) 0.01 
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  14. Sander, M.; Cronimund, C.: Google anonym nutzen? : Wie ein Zürcher den Tech-Giganten austrickst (2021) 0.01 
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  15. Search Engines and Beyond : Developing efficient knowledge management systems, April 19-20 1999, Boston, Mass (1999) 0.01 
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    Content
    Ramana Rao (Inxight, Palo Alto, CA) 7 ± 2 Insights on achieving Effective Information Access Session One: Updates and a twelve month perspective Danny Sullivan (Search Engine Watch, US / England) Portalization and other search trends Carol Tenopir (University of Tennessee) Search realities faced by end users and professional searchers Session Two: Today's search engines and beyond Daniel Hoogterp (Retrieval Technologies, McLean, VA) Effective presentation and utilization of search techniques Rick Kenny (Fulcrum Technologies, Ontario, Canada) Beyond document clustering: The knowledge impact statement Gary Stock (Ingenius, Kalamazoo, MI) Automated change monitoring Gary Culliss (Direct Hit, Wellesley Hills, MA) User popularity ranked search engines Byron Dom (IBM, CA) Automatically finding the best pages on the World Wide Web (CLEVER) Peter Tomassi (LookSmart, San Francisco, CA) Adding human intellect to search technology Session Three: Panel discussion: Human v automated categorization and editing Ev Brenner (New York, NY)- Chairman James Callan (University of Massachusetts, MA) Marc Krellenstein (Northern Light Technology, Cambridge, MA) Dan Miller (Ask Jeeves, Berkeley, CA) Session Four: Updates and a twelve month perspective Steve Arnold (AIT, Harrods Creek, KY) Review: The leading edge in search and retrieval software Ellen Voorhees (NIST, Gaithersburg, MD) TREC update Session Five: Search engines now and beyond Intelligent Agents John Snyder (Muscat, Cambridge, England) Practical issues behind intelligent agents Text summarization Therese Firmin, (Dept of Defense, Ft George G. Meade, MD) The TIPSTER/SUMMAC evaluation of automatic text summarization systems Cross language searching Elizabeth Liddy (TextWise, Syracuse, NY) A conceptual interlingua approach to cross-language retrieval. Video search and retrieval Armon Amir (IBM, Almaden, CA) CueVideo: Modular system for automatic indexing and browsing of video/audio Speech recognition Michael Witbrock (Lycos, Waltham, MA) Retrieval of spoken documents Visualization James A. Wise (Integral Visuals, Richland, WA) Information visualization in the new millennium: Emerging science or passing fashion? Text mining David Evans (Claritech, Pittsburgh, PA) Text mining - towards decision support
  16. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.00 
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    Date
    17.12.2013 11:02:22
  17. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.00 
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    Date
    19. 2.2019 17:22:00
  18. Franke-Maier, M.; Rüter, C.: Discover Sacherschließung! : Was machen suchmaschinenbasierte Systeme mit unseren inhaltlichen Metadaten? (2015) 0.00 
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  19. Weiß, E.-M.: ChatGPT soll es richten : Microsoft baut KI in Suchmaschine Bing ein (2023) 0.00 
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  20. Haynes, M.: Your Google algorithm cheat sheet : Panda, Penguin, and Hummingbird (2013) 0.00 
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  • d 18
  • e 10

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